qbxlvnf11 / graph-neural-networks-for-graph-classificationLinks
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
☆110Updated 4 years ago
Alternatives and similar repositories for graph-neural-networks-for-graph-classification
Users that are interested in graph-neural-networks-for-graph-classification are comparing it to the libraries listed below
Sorting:
- A list for GNNs and related works.☆93Updated 3 weeks ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆140Updated 3 months ago
- ☆68Updated 2 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆256Updated 5 months ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆162Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆70Updated 2 weeks ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- ☆134Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆114Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆138Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆91Updated 3 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- ☆30Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Regression Graph Neural Network (regGNN) for cognitive score prediction.☆72Updated 2 years ago
- ☆322Updated 10 months ago
- A Unified Library for Deep Graph Clustering☆110Updated last week
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated last year
- A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…☆35Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆125Updated last year
- Representation learning on dynamic graphs using self-attention networks☆295Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated 11 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆81Updated 6 months ago
- The PyTorch version of ChebNet.☆35Updated 6 months ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆180Updated 11 months ago
- ☆135Updated last year